class_docstr: MovingMnist Dataset.
docstr: Splits of data to produce and number of output shards for each.
docstr_tok: ["Splits","of","data","to","produce","and","number","of","output","shards","for","each","."]
code: def dataset_splits(self):
      """Splits of data to produce and number of output shards for each."""
      return [
          {"split": problem.DatasetSplit.TRAIN, "shards": 10},
          {"split": problem.DatasetSplit.EVAL, "shards": 1},
          {"split": problem.DatasetSplit.TEST, "shards": 1},
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import video_utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  import tensorflow_datasets
  from tensorflow_datasets.video import moving_sequence
label_desc: Use image node_id 8 for calling the VideoMovingMnist obj's underlying member method code with example usage: obj.dataset_splits() and returns: list